INGENIEUR DEVOPS IA SENIOR F/H
AG2R LA MONDIALE · Paris, Île-de-France, France
- On site
- Full-time
- €75,000 / year
- Paris, Île-de-France, France
Job highlights
- Design and automate AI CI/CD pipelines on GCP.
- Deploy and manage AI solutions using GCP services.
- Implement Infrastructure as Code with Terraform.
- Monitor and optimize AI model performance.
- Collaborate with AI and development teams.
About the role
About the Role
AG2R LA MONDIALE is seeking a Senior AI DevOps Engineer (F/H) to join their team. This CDI (permanent contract) position involves designing, implementing, and managing CI/CD pipelines specifically for AI models and applications on Google Cloud Platform (GCP). You will be responsible for deploying, configuring, and optimizing complex AI solutions, leveraging Infrastructure as Code (IaC) with Terraform and GCP. The role also includes enhancing monitoring systems for AI performance, ensuring security and compliance, and providing technical leadership to cross-functional teams.
Key Responsibilities
- Design, implement, and manage robust CI/CD pipelines for AI models and applications (GCP, Jenkins, Nexus, GitLab/GitHub).
- Deploy, configure, and optimize AI solutions on GCP using services like Vertex AI, TensorFlow, VPC, Subnet, Cloud Run, Load Balancer, and CloudBees Jenkins.
- Develop and maintain Infrastructure as Code (IaC) using Terraform and GCP.
- Implement advanced monitoring systems to track AI model performance and optimize infrastructure.
- Ensure the security of deployed AI solutions on GCP, managing IAM and SSO, and performing vulnerability scans.
- Collaborate with Tech Leads, Data Scientists, and development teams, providing technical leadership and sharing DevOps best practices for AI.
- Diagnose and resolve complex issues related to AI deployment, performance, and stability.
- Stay updated on the latest advancements in DevOps, AI, and cloud technologies.
Qualifications
- Engineering degree or Master's in Computer Science, with a specialization in AI, DevOps, or a related field.
- Minimum 5-7 years of experience as a DevOps Engineer, with significant experience deploying AI solutions in production.
- In-depth experience with Google Cloud Platform (GCP) and its AI services.
- Expertise in CI/CD tools like GitLab CI and GitHub Actions.
- Proficiency in Infrastructure as Code (IaC) using Terraform.
- Expertise with containerization technologies like Kubernetes.
- Proficiency in Python; knowledge of Angular is a plus.
- Experience with databases such as BigQuery and PostgreSQL.
- Proficiency with Git, Sonar, GitHub, and Jenkins.
- Knowledge of LLMs and AI solution deployment.
- Experience with Agile methodologies (SCRUM, SAFe, Kanban).
- Mandatory: Google Cloud Certified - Professional Cloud Architect certification.
- Preferred certifications: Google Cloud Certified - Professional Cloud Network Engineer, Google Cloud Certified - Professional Cloud DevOps Engineer, or Google Cloud Certified - Machine Learning Engineer.
What We Offer
- A stimulating and collaborative work environment with a team passionate about AI.
- Opportunities for training and professional development.
- The chance to contribute to large-scale projects with direct impact.
- Flexible work arrangements (1-2 days remote per week) and attractive social benefits.
- Competitive compensation package including fixed salary, variable pay, and profit-sharing.
- Attractive employee savings plans and supplementary retirement options.
- Partial coverage of health and prévoyance insurance.
About AG2R LA MONDIALE
AG2R LA MONDIALE is a leading mutualist and paritary group in France, renowned for its financial strength in social protection and wealth management. Join a collective of 15,000 experts committed to transformation, continuous learning, and fostering a positive work environment. We encourage initiatives, innovation, and prioritize employee well-being.
Our Commitments
We believe diversity is a strength, fostering inclusion and equal opportunities for all. AG2R LA MONDIALE is committed to supporting professional integration and employment for individuals with disabilities. We are an employer committed to combating all forms of discrimination and promoting an inclusive and respectful workplace.
Key Skills/Competency
- Senior AI DevOps Engineer
- CI/CD Pipelines
- Artificial Intelligence (AI)
- Google Cloud Platform (GCP)
- Infrastructure as Code (IaC)
- Terraform
- Kubernetes
- Python
- Machine Learning Operations (MLOps)
- Cloud Security
Skills & topics
- DevOps Engineer
- AI
- GCP
- CI/CD
- Terraform
- Kubernetes
- Python
- Cloud
- Senior Engineer
- AG2R LA MONDIALE
How to get hired
- Tailor your resume: Highlight your experience with AI model deployment, GCP, Terraform, and CI/CD specific to AI projects. Quantify achievements where possible.
- Showcase your GCP expertise: Emphasize your Professional Cloud Architect certification and any other relevant GCP certifications.
- Demonstrate technical skills: Be prepared to discuss your experience with Kubernetes, Python, and CI/CD tools like GitLab CI/GitHub Actions in detail.
- Prepare for technical and behavioral questions: Expect to discuss complex problem-solving scenarios, collaboration with data scientists, and your approach to AI DevOps challenges.
- Understand the company culture: Research AG2R LA MONDIALE's mission, values, and commitment to diversity and inclusion.
Technical preparation
Master GCP services for AI workloads.,Practice Terraform for infrastructure automation.,Build CI/CD pipelines for ML models.,Prepare for Kubernetes and Python challenges.
Behavioral questions
Describe a complex AI deployment challenge.,How do you collaborate with data scientists?,Share an example of leading a technical initiative.,How do you ensure AI solution security?
Frequently asked questions
- What are the key technical skills required for the Senior AI DevOps Engineer role at AG2R LA MONDIALE?
- The Senior AI DevOps Engineer role at AG2R LA MONDIALE requires deep expertise in Google Cloud Platform (GCP), CI/CD tools (GitLab CI, GitHub Actions), Infrastructure as Code (Terraform), Kubernetes, and Python. A strong understanding of AI/ML concepts and deployment is crucial, along with experience in monitoring and security on cloud platforms.
- Is the Google Cloud Certified - Professional Cloud Architect certification mandatory for this position?
- Yes, the Google Cloud Certified - Professional Cloud Architect certification is mandatory for the Senior AI DevOps Engineer position at AG2R LA MONDIALE. Other relevant GCP certifications are considered a plus.
- What is the expected level of experience for the Senior AI DevOps Engineer role?
- AG2R LA MONDIALE is looking for a Senior AI DevOps Engineer with a minimum of 5-7 years of experience in DevOps, specifically with a significant track record of deploying AI solutions in production environments.
- Does AG2R LA MONDIALE offer remote work options for the Senior AI DevOps Engineer position?
- Yes, AG2R LA MONDIALE offers a flexible work environment, allowing for 1 to 2 days of remote work per week for the Senior AI DevOps Engineer role.
- What are the core responsibilities of the Senior AI DevOps Engineer at AG2R LA MONDIALE?
- The core responsibilities include designing and automating CI/CD pipelines for AI, deploying and managing AI solutions on GCP, implementing Infrastructure as Code, monitoring AI performance, ensuring security, and collaborating with cross-functional teams.
- What kind of team will the Senior AI DevOps Engineer be working with at AG2R LA MONDIALE?
- The Senior AI DevOps Engineer will collaborate closely with Tech Leads, Data Scientists, backend and frontend developers, and infrastructure teams. The role offers a stimulating and collaborative environment with a team passionate about AI.
- What programming languages are important for the Senior AI DevOps Engineer role?
- Proficiency in Python is required for the Senior AI DevOps Engineer role at AG2R LA MONDIALE. Knowledge of Angular is considered a plus.
- How does AG2R LA MONDIALE support professional development for its employees?